Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-24T18:05:53.377Z Has data issue: false hasContentIssue false

Self- and observer ratings of capacity limitations in patients with neurological conditions

Published online by Cambridge University Press:  17 November 2022

Anne Henning*
Affiliation:
Department of Psychotherapy and Diagnostics, Technische Universität Braunschweig, Braunschweig, Germany Brandenburgklinik Berlin-Brandenburg, Bernau bei Berlin, Germany
Michael Linden
Affiliation:
Research Group Psychosomatic Rehabilitation, Charité - Universitätsmedizin Berlin, Berlin, Germany
Beate Muschalla
Affiliation:
Department of Psychotherapy and Diagnostics, Technische Universität Braunschweig, Braunschweig, Germany Brandenburgklinik Berlin-Brandenburg, Bernau bei Berlin, Germany
*
*Corresponding author. Email: anne.henning@charite.de

Abstract

Objective:

The purpose of this study was to compare the self- and observer ratings of capacity limitations in patients with neurological conditions. Research on this topic is relevant for assessing the patients’ ability to participate in work and social life and improving collaborative patient-clinician relationships.

Method:

The self- and observer ratings of capacity limitations in a sample of N = 245 patients with neurological conditions from a rehabilitation facility were compared and assessed using the short rating of activity limitations and participation restrictions in mental disorders according to the International Classification of Functioning, Disability and Health (Mini-ICF-APP) and the equivalent self-rating questionnaire (Mini-ICF-APP-S).

Results:

Paired-samples t-tests revealed significant differences between the self- and observer ratings for six out of 13 capacity dimensions. On average, the patients rated the capacity dimensions adherence to regulations, planning and structuring of tasks, professional competency and endurance as significantly less limited, in comparison to the observers (small to medium effect sizes). The self-ratings for limitation of contact with others and self-care were only marginally higher than the observer ratings.

Conclusions:

The findings show that psychological capacity limitations occur in patients with neurological conditions. In clinical practice, limitations in each capacity dimension and discrepancies in patient- and clinician-ratings should be thoroughly assessed. This is especially relevant in patients with neurological conditions who have a potential tendency to underestimate or deny their disability.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Australasian Society for the Study of Brain Impairment

Introduction

According to the World Health Organization’s (WHO) International Classification of Functioning, Disability and Health (ICF), and in line with a bio-psycho-social understanding of health and disease, health conditions are not only characterized by clinical symptoms but also by participation restrictions affecting different areas of life, such as work and social life (Deutsches Institut für Medizinische Dokumentation und Information [DIMDI], 2005; Linden, Reference Linden2016; WHO, 2001). This is particularly relevant in neurological conditions, which are commonly linked to poor quality of life (e.g., Gullo, Fleming, Bennett, & Shum, Reference Gullo, Fleming, Bennett and Shum2019; Mitchell, Kemp, Benito-León, & Reuber, Reference Mitchell, Kemp, Benito-León and Reuber2010; Mujica-Mota et al., Reference Mujica-Mota, Roberts, Abel, Elliott, Lyratzopoulos, Roland and Campbell2015; Paul et al., Reference Paul, Sturm, Dewey, Donnan, Macdonell and Thrift2005), unemployment (Pearson et al., Reference Pearson, Alla, Clarke, Mason, Anderson, Richardson and Taylor2017) and difficulties in returning to work (e.g., percentage of people re-entering the workforce within the first two years after acquired brain injury: approximately 40%; van Velzen, van Bennekom, Edelaar, Sluiter, & Frings-Dresen, Reference van Velzen, van Bennekom, Edelaar, Sluiter and Frings-Dresen2009).

However, restrictions on participation do not result directly from clinical symptoms. Instead, the limitation of capacities in the context of specific role requirements, seems to play a key role in the context of disease and participation restriction (Baron & Linden, Reference Baron and Linden2009; Linden, Reference Linden2016). For example, a patient with aphasia might only be restricted when participating in work, if the capacity to establish new social relations is limited but required at the patient’s workplace (e.g., when working as a recruiter at the human resources department). Following the ICF terminology, psychological capacities can be described as specific psychological activities which an individual is able to carry out, given specific context requirements (DIMDI, 2005; Linden, Keller, Noack, & Muschalla, Reference Linden, Keller, Noack and Muschalla2018; WHO, 2001). They can also be referred to as soft skills (Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018) which are essential in today’s working life with increased psychological requirements and which enable individuals to interact with others and to adjust to different situations or requirements (Linden, Reference Linden2016; Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018; Muschalla, Linden, Baron, & Ostholt-Corsten, Reference Muschalla, Linden, Baron and Ostholt-Corsten2019). They include the (1) adherence to regulations, (2) planning and structuring of tasks, (3) flexibility, (4) professional competency, (5) judgments, (6) endurance, (7) assertiveness, (8) contact with others, (9) group integration (10) intimate relationships, (11) spontaneous activities, (12) self-care and (13) mobility (Linden, Baron, & Muschalla, Reference Linden, Baron and Muschalla2009; Linden, Baron, & Muschalla, Reference Linden, Baron and Muschalla2015).

Capacity limitations occur when the individual has problems in performing certain activities which are required in a specific context (WHO, 2001). Problems include negative consequences for the individual or others, or (full or partial) assistance being required from others to meet specific requirements (Linden, Baron, Muschalla, & Ostholt-Corsten, Reference Linden, Baron, Muschalla and Ostholt-Corsten2015). In the context of work, the nature and extent of disease-related capacity limitations can, in certain roles, lead to long-term sick leave (Muschalla, Reference Muschalla2018) and are essential when evaluating disability (Anner, Schwegler, Kunz, Trezzini, & de Boer, Reference Anner, Schwegler, Kunz, Trezzini and de Boer2012; Linden, Reference Linden2016; Muschalla, Angerer, & Knaevelsrud, Reference Muschalla, Angerer and Knaevelsrud2017).

The precise and comprehensive assessment of capacity limitations is crucial when planning treatment and conducting socio-medical assessments (e.g., concerning work ability): To obtain a comprehensive picture of the patient’s limitations, it is beneficial to include both self- and observer ratings (Linden, Deck, & Muschalla, Reference Linden, Deck and Muschalla2018; Muschalla, Reference Muschalla2020). However, as self-ratings can differ from those of observers, this needs to be taken into account when conducting socio-medical assessments (Linden, Deck, et al., Reference Linden, Deck and Muschalla2018), which require expertise (Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018).

To date, the research conducted into the comparison of self- and observer ratings has primarily been in the context of participation restrictions (e.g., Linden, Deck, et al., Reference Linden, Deck and Muschalla2018) and psychopathological aspects (e.g., Biancosino et al., Reference Biancosino, Barbui, Marmai, Fagioli, Sabatelli and Grassi2007; Carter, Frampton, Mulder, Luty, & Joyce, Reference Carter, Frampton, Mulder, Luty and Joyce2010; Hartmann, Fritzsche, & Lincoln, Reference Hartmann, Fritzsche and Lincoln2013). In addition, psychological capacity limitations have been examined primarily in the context of psychological disorders (e.g., Linden et al., Reference Linden, Baron and Muschalla2009; Linden, Baron, & Muschalla, Reference Linden, Baron and Muschalla2015; Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018; Muschalla, Reference Muschalla2020; Muschalla, Poguntke, & Linden, Reference Muschalla, Poguntke and Linden2019; Muschalla, Rau, Küster, Willmund, & Knaevelsrud, Reference Muschalla, Rau, Küster, Willmund and Knaevelsrud2017), whereas there are only some studies of psychological capacity limitations in the context of neurological conditions. Hence, there is a need to examine the self- and observer ratings of psychological capacity limitations in a sample of patients with neurological conditions. Research on that topic would allow a better understanding of capacity limitations in patients with neurological conditions, which is needed to assess the patients’ ability to participate in work or social life. It might also improve collaborative alliances between clinicians and patients. For example, following the dimensions of therapeutic alliances proposed by Bordin (Reference Bordin1979), identifying and addressing the patient’s perception of limitations in therapy might contribute to finding a better agreement on objectives and interventions.

Differences in self- and observer ratings of capacity limitations

Discrepancies between self- and observer ratings have been examined in different contexts for decades and are not unique to the socio-medical context. They can arise for various reasons. For example, research has indicated that people with a higher depressive or anxiety symptom load, tend to interpret information more negatively than those without (Everaert, Bronstein, Cannon, & Joormann, Reference Everaert, Bronstein, Cannon and Joormann2018; Krahé, Whyte, Bridge, Loizou, & Hirsch, Reference Krahé, Whyte, Bridge, Loizou and Hirsch2019), and that a depressive symptom load is related to an internal attribution style of negative experiences (Cropley & MacLeod, Reference Cropley and MacLeod2003). Higher levels of perceived hopelessness in people with a depressive or anxiety symptom load are associated with a decreased expectancy to attain objectives (Hadley & MacLeod, Reference Hadley and MacLeod2010) and an increased inner conviction of negative predictions (Miranda, Fontes, & Marroquín, Reference Miranda, Fontes and Marroquín2008). In the context of socio-medical assessments, it is possible for self-ratings to be influenced by a motivation to receive a disability pension or other benefits: In this case, there may be a tendency for the self-rated capacity limitations to be exaggerated or even fabricated (Baron, Reference Baron2019; Linden, Reference Linden2016). Self-ratings of the impairment might also be more pronounced than the observer’s evaluations due to a tendency to clarify or emphasize it (Muschalla, Reference Muschalla2020). Conversely, some patients might underestimate their limitations due to a social desirability bias (Baron, Reference Baron2019).

Patients may also be referring to different contexts than the observers, when rating their limitations, which reduces the validity of the self-ratings (Baron, Reference Baron2019; Linden, Reference Linden2016). For example, patients might rate their social skills, by reference to their number of friends (Baron, Reference Baron2019; Linden, Reference Linden2016), the social capacities of other people, with their capacities before and after disease onset or according to their personal goals (Baron, Reference Baron2019; Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018; Muschalla, Reference Muschalla2020). Other potential causes of discrepancies between self- and observer ratings might be different interpretations of observations concerning capacity limitations or attribution biases on the part of the observers (Baron, Reference Baron2019).

Research has shown that people with psychological symptom loads or psychological disorders, tend to rate their symptoms and participation restrictions as more severe, in comparison to the ratings of clinicians or observers (e.g., Carter et al., Reference Carter, Frampton, Mulder, Luty and Joyce2010; Linden, Deck, et al., Reference Linden, Deck and Muschalla2018; Linden, Muschalla, Haverkamp, & Keßler, Reference Linden, Muschalla, Haverkamp and Keßler2013). However, there is less research on discrepancies between self- and observer ratings of (psychological) capacity limitations. Muschalla, Rau, et al. (Reference Muschalla, Rau, Küster, Willmund and Knaevelsrud2017) revealed that the self-rated capacity limitations of serving members of the German military with psychological disorders, were significantly positively correlated with the expert rated capacity limitations for almost all the capacity dimensions examined. The results indicate a similarity but not full conformity, between the self- and observer ratings.

Self- and observer ratings of capacity limitations in patients with neurological conditions

In Germany, cerebrovascular diseases (e.g., stroke) and multiple sclerosis are the most common neurological conditions in patients receiving rehabilitation services or disability pensions (DRV, 2010). These and other neurological conditions are quite complex in the sense that they can involve different levels of severity and neurological damage in different areas and therefore, display varied functional impairments, capacity limitations and participation restrictions (DRV, 2010). Another peculiarity of neurological conditions, is that they can be accompanied by symptoms similar to those found in psychological disorders, such as impaired memory, attention and concentration disorders, anxiety, fatigue, hallucinations and illusions, impulsivity, changes in the affectivity, apathy, hopelessness and sleeping problems (e.g., Amato, Zipoli, & Portaccio, Reference Amato, Zipoli and Portaccio2006; Beyenburg, Mitchell, Schmidt, Elger, & Reuber, Reference Beyenburg, Mitchell, Schmidt, Elger and Reuber2005; DRV, 2010; Djamshidian et al., Reference Djamshidian, O’Sullivan, Sanotsky, Sharman, Matviyenko, Foltynie and Averbeck2012; Lou, Kearns, Oken, Sexton, & Nutt, Reference Lou, Kearns, Oken, Sexton and Nutt2001; Mattle & Mumenthaler, Reference Mattle and Mumenthaler2015; Patten & Metz, Reference Patten and Metz2002; Penner & Paul, Reference Penner and Paul2017; Rooney, Wood, Moffat, & Paul, Reference Rooney, Wood, Moffat and Paul2019; den Brok et al., Reference den Brok, van Dalen, van Gool, Moll van Charante, de Bie and Richard2015). They both represent disorders of the brain (Gustavsson et al., Reference Gustavsson, Svensson, Jacobi, Allgulander, Alonso, Beghi and Olesen2011; Wittchen et al., Reference Wittchen, Jacobi, Rehm, Gustavsson, Svensson, Jonsson and Steinhausen2011).

So far, only a few studies have investigated psychological capacity limitations in patients with neurological conditions. For example, there has been a study showing that Parkinson’s disease is linked to impulsive and irrational decision-making (Djamshidian et al., Reference Djamshidian, O’Sullivan, Sanotsky, Sharman, Matviyenko, Foltynie and Averbeck2012). Gullo et al. (Reference Gullo, Fleming, Bennett and Shum2019) revealed that both high physical and cognitive fatigue in patients with multiple sclerosis go along with several disabilities. For example, patients who reported high compared to low physical fatigue perceived significantly more disease-related difficulties in their everyday life, for example concerning their ability to move. Other studies have emphasized that neurological conditions are associated with impaired social cognitive functioning (e.g., Alonso-Recio, Carvajal, Merino, & Serrano, Reference Alonso-Recio, Carvajal, Merino and Serrano2021; Henry, Von Hippel, Molenberghs, Lee, & Sachdev, Reference Henry, Von Hippel, Molenberghs, Lee and Sachdev2016; Phillips et al., Reference Phillips, Henry, Scott, Summers, Whyte and Cook2011) and restricted executive functioning, involving deficits in planning performance (Weintraub et al., Reference Weintraub, Moberg, Culbertson, Duda, Katz and Stern2005).

Due to similarities in some of their symptoms and capacity limitations, one might assume there could be a similar pattern concerning differences in self- and observer-rated capacity limitations in patients with neurological conditions and psychological disorders. However, some research has shown that patients with neurological conditions without concomitant psychopathology tend to underestimate the severity of their functional impairment or capacity limitation whereas, patients with neurological conditions and concomitant psychopathology seem to overestimate the severity of the same (e.g., Bruce & Arnett, Reference Bruce and Arnett2004; Carone, Benedict, Munschauer III, Fishman, & Weinstock-Guttman, Reference Carone, Benedict, Munschauer III, Fishman and Weinstock-Guttman2005). For example, Carone et al. (Reference Carone, Benedict, Munschauer III, Fishman and Weinstock-Guttman2005) showed that patients with multiple sclerosis who underestimated their cognitive impairment, showed a lower depressive symptom load than patients who overestimated it. Those results are in line with a previous study which revealed that patients with multiple sclerosis without depressive symptoms, tended to underestimate their memory deficits, while those with mild depressive symptoms seemed to overestimate them (Bruce & Arnett, Reference Bruce and Arnett2004). Another study showed that patients with traumatic brain injury underestimated their deficits in social interaction and emotional control compared to their relatives’ evaluations, while the control group of patients with neuropsychiatric conditions did not show an underestimation of their limitations (Prigatano, Reference Prigatano1996).

As suggested previously, individuals with a depressive or anxiety symptom load or hopelessness, might evaluate their capacity limitations as being more severe, in comparison to the observers’ assessment, due to their tendency to have a rather pessimistic view of their abilities or future (e.g., Cropley & MacLeod, Reference Cropley and MacLeod2003; Hadley & MacLeod, Reference Hadley and MacLeod2010; Miranda et al., Reference Miranda, Fontes and Marroquín2008). Following Beck’s theory of depression (Beck, Rush, Shaw, & Emery, Reference Beck, Rush, Shaw and Emery1979), Bruce and Arnett (Reference Bruce and Arnett2004) suggested that patients with neurological conditions but without concomitant psychopathology might underestimate their symptom severity or limitation, based on a tendency to attribute successful performances to their own capacities and non-successful performances to external factors. Thus, they might draw their attention to their positive capacities, rather than paying attention to their limitations (Bruce & Arnett, Reference Bruce and Arnett2004).

Other possible explanations for underestimating the severity of their functional impairment or capacity limitation, include a reduced awareness of their deficits due to brain damage, or denial of disability as a coping mechanism after brain injury (e.g., Bivona et al., Reference Bivona, Costa, Contrada, Silvestro, Azicnuda, Aloisi and Prigatano2019; Hartman-Maeir, Soroker, Oman, & Katz, Reference Hartman-Maeir, Soroker, Oman and Katz2003; Katz, Fleming, Keren, Lightbody, & Hartman-Maeir, Reference Katz, Fleming, Keren, Lightbody and Hartman-Maeir2002; Prigatano & Sherer, Reference Prigatano and Sherer2020; Prigatano, Reference Prigatano1996). In the context of neurological conditions, self-awareness describes the ability to perceive deficits due to brain injury and to understand their consequences with reference to current and future contexts (Crosson et al., Reference Crosson, Barco, Velozo, Bolesta, Cooper, Werts and Brobeck1989). An impaired self-awareness has commonly been found in patients with cerebrovascular conditions and after acquired and traumatic brain injuries (e.g., Fischer, Trexler, & Gauggel, Reference Fischer, Trexler and Gauggel2004; Geytenbeek, Fleming, Doig, & Ownsworth, Reference Geytenbeek, Fleming, Doig and Ownsworth2017; Hartman-Maeir et al., Reference Hartman-Maeir, Soroker, Oman and Katz2003), seems to decrease but persist half a year after hospitalization (Geytenbeek et al., Reference Geytenbeek, Fleming, Doig and Ownsworth2017), and is related to poorer community participation (Geytenbeek et al., Reference Geytenbeek, Fleming, Doig and Ownsworth2017; Robertson & Schmitter-Edgecombe, Reference Robertson and Schmitter-Edgecombe2015).

Aim of this study

The aim of this paper is to provide an addition to previous research on differences between self- and observer-rated capacity limitations on the one hand, and psychological capacity limitations in neurological conditions on the other. This would allow a better understanding of which psychological capacities might be limited in patients with neurological conditions and how they perceive their limitations compared to observers. Thus, self- and observer ratings of capacity limitations will be compared in a sample of patients with neurological conditions.

Materials and methods

Design

The study is part of a larger project which examines psychological symptoms and capacity limitations in patients with neurological, orthopedic and cardiological conditions. It was conducted between April and October 2019, after approval from the Technische Universität Braunschweig’s ethics commission.

Participants

Patients from the neurology department (phase ‘D’ – an in-patient follow-up treatment of patients who only need little nursing support in activities of their daily life) of the Brandenburgklinik Berlin-Brandenburg rehabilitation clinic were randomly assigned to the study by an external therapy coordinator, shortly after their arrival at the clinic. To take part in the study, the patients had to be of working age and have sufficient language skills to respond to the interview and questionnaire.

Measures

Capacity limitations in observer rating

The short rating of activities and participation in psychological disorders according to the ICF (Mini-ICF-APP) is a semi-structured observer rating instrument which measures the degree of limitation of the following psychological capacity dimensions: (1) adherence to regulations, (2) planning and structuring of tasks, (3) flexibility, (4) professional competency, (5) judgments, (6) endurance, (7) assertiveness, (8) contact with others, (9) group integration (10) intimate relationships, (11) spontaneous activities, (12) self-care and (13) mobility (Linden et al., Reference Linden, Baron and Muschalla2009; Linden, Baron, & Muschalla, Reference Linden, Baron and Muschalla2015). It is based on the ICF (WHO, 2001). The limitation ratings were based on the information gathered during the interview, through self-reports and observations. For example, it was asked if others often noticed mistakes made by the patient (professional competency) or if the patient had problems with performing at work without additional breaks (endurance; Linden, Baron, Muschalla, et al., Reference Linden, Baron, Muschalla and Ostholt-Corsten2015). With reference to a specific context (e.g., work), a trained member of the research team (observer) rated the capacity limitations using a Likert scale ranging from 0 = no limitation to 4 = full limitation.

The Mini-ICF-APP has a high inter-rater reliability (r = .92) for trained observers, correlates significantly with psychopathology and work ability measurements and is sensitive to change (Linden et al., Reference Linden, Baron and Muschalla2009; Linden, Baron, & Muschalla, Reference Linden, Baron and Muschalla2015). The results of an international validity study showed a good inter-rater reliability (ICC = .89) and a high internal consistency (Cronbach’s α = .87; Molodynski et al., Reference Molodynski, Linden, Juckel, Yeeles, Anderson, Vazquez-Montes and Burns2013).

Capacity limitations in self-rating

The Mini-ICF-APP-S (Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018) is a self-rating instrument which is equivalent to the Mini-ICF-APP. The patient self-rates their perceived level of capacity limitation using a Likert scale ranging from 0 = this is a strength of mine to 7 = I am completely unable to do this. Cronbach’s alphas ranging from .86 to .92 indicate a good internal consistency (Brenner, Köllner, & Bachem, Reference Brenner, Köllner and Bachem2019; Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018; Muschalla, Reference Muschalla2020). Low (r = .121) to high (r = .692***) correlations between the different capacity dimensions indicate that the Mini-ICF-APP-S includes separate capacities (data set; Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018). The Mini-ICF-APP-S has been found to be low (r = .170) to moderately (r = .398***) correlated with a global symptom load (SCL-90-R GSI score; data set; Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018). This shows that capacities are different from psychopathology.

Procedure

At the beginning of the assigned, one-hour appointments, the patients were given information material about the study and the procedure was explained to them. They were asked to sign a declaration of consent and a declaration of release from confidentiality to take part in the study. The interviews were conducted by members of the research team including a state-licensed psychotherapist and a psychotherapist in training. To reduce the risk of bias they had to undergo an extensive training prior to the start of this study. To assess the inter-rater reliability, 34 interviews were co-rated by the members of the research team. After the interview, the participants were asked to complete an anonymous questionnaire in a paper and pencil format, which included questions on their perceived capacity limitations. As the current research is part of a larger project, the interview and questionnaire also included questions on topics other than capacity limitations, such as the ability to work, psychological symptom load, participation restrictions and work requirements.

Statistical approach and analysis

Data preparation

In order to compare the self- and observer-rated capacity limitations, the Mini-ICF-APP-S scale was transformed according to the Mini-ICF-APP scale based on the alignment of values between both scales (see Table 1), as indicated by Muschalla, Rau, et al. (Reference Muschalla, Rau, Küster, Willmund and Knaevelsrud2017).

Table 1. Transformation of the Mini-ICF-APP-S Scale (Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018) According to the Mini-ICF-APP Scale (Linden et al., Reference Linden, Baron and Muschalla2009; Linden, Baron, & Muschalla, Reference Linden, Baron and Muschalla2015; Linden, Baron, Muschalla, et al., Reference Linden, Baron, Muschalla and Ostholt-Corsten2015)

Internal consistency and inter-rater reliability

Cronbach’s alphas were computed to test the internal consistency of the Mini-ICF-APP and the Mini-ICF-APP-S. The inter-rater reliability was assessed by computing Pearson correlations between the interviewer- and co-ratings for the overall Mini-ICF-APP score.

Statistical analysis

The paired-samples t-tests were conducted using SPSS (Version 25), in order to examine whether the self-ratings of neurological patients were significantly different to the observer ratings. Differences with p < .05 (two-tailed) were treated as being statistically significant. Cohen’s d was calculated to determine the effect sizes. An effect size from 0.2 up to 0.5, indicates a small effect, an effect size between 0.5 and 0.8 indicates a medium effect and an effect size of 0.8 and higher, can be interpreted as a large effect (Cohen, Reference Cohen1992).

Results

Sample

N = 328 patients were interviewed in this study. 252 Mini-ICF-APP-S questionnaires were completed by the patients. Possible reasons for 76 patients not completing the questionnaire might include a lack of motivation, having forgotten about completing it, or an early departure from the rehabilitation clinic. Out of the n = 252 patients who completed the self-ratings, the data of n = 6 patients were excluded due to missing values in all sub scales of the Mini-ICF-APP-S and n = 1 was excluded due to missing values in all categories of the Mini-ICF-APP. The data of N = 245 patients were used for the analyses. The sample characteristics are presented in Table 2. The mean scores of observer-rated capacity limitations for the main subgroups of neurological conditions (n subgroup > 20) are presented in Supplemental Table S1.

Table 2. Sample Characteristics (N = 245)

Internal consistency and inter-rater reliability

Cronbach’s alphas for the observer- (Cronbach’s α = .81) and self-rating (Cronbach’s α = .88) scales indicate a good internal consistency. A good inter-rater reliability of the Mini-ICF-APP was shown by a large correlation between observer- and co-ratings, r = .958, p < .001.

Self- and observer ratings of capacity limitations in patients with neurological conditions

Table 3 shows the results of the statistical analysis. Overall, the average global capacity limitation in the self- (M = 0.50, SD = 0.53) and the observer rating (M = 0.65, SD = 0.59) indicates a mild limitation. A mild limitation means that the patient has problems with fulfilling specific requirements, which does not result in negative consequences or requires assistance from others (Linden, Baron, Muschalla, et al., Reference Linden, Baron, Muschalla and Ostholt-Corsten2015). However, the levels of limitation varied for the different capacity dimensions. According to the self-rating, the highest proportion of patients with moderate to full limitation was in the dimension of mobility (30.0%), whereas the lowest proportion was found in the category of adherence to regulations (7.4%). In the observer rating, the highest proportion of ratings indicating a moderate to full limitation, was found in the endurance dimension (62.6%), while the lowest proportion was discovered in the domain of self-care (11.5%).

Table 3. Comparison of Mean Scores of Self- and Observer-Rated Capacity Limitations in Patients with Neurological Conditions (N = 245) a

a Data of n = 0–69 was excluded from analyses due to missing values.

* p < .05.

** p < .01.

*** p < .001.

Significant positive small to medium correlations were revealed between the self- and observer ratings across all domains of capacity limitation, while the correlation of the global scores can be interpreted as large. However, the paired-samples t-tests showed that in some capacity dimensions, the average level of limitation differed between the self- and observer ratings. On average, the patients rated their limitations significantly lower than the observers, in the capacity dimensions of adherence to regulations, planning and structuring of tasks, professional competency and endurance, t(242) = −6.15, p < .001, d = 0.40; t(239) = −3.49, p < .001, d = 0.23; t(234) = −4.72, p < .001, d = 0.31; t(236) = −11.20, p < .001, d = 0.73, respectively. The effect sizes of these significant differences indicate small to medium effects (Cohen, Reference Cohen1992). In contrast, the limitation of the capacity dimensions of contact with others and self-care were, on average, rated significantly more highly by the patients than the observers, t(238) = 2.40, p = .017, d = 0.16; t(236) = 2.29, p = .023, d = 0.15, respectively. However, the effects can be interpreted as marginal (Cohen, Reference Cohen1992). No significant differences in limitation were found between the self- and observer ratings for the other capacity domains.

Discussion

The aim of this study was to compare self- and observer ratings of psychological capacity limitations in patients with neurological conditions. It provides an addition to previous research on differences between self- and observer-rated capacity limitations on the one hand, and capacity limitations in neurological conditions on the other.

Self- and observer ratings of capacity limitations in patients with neurological conditions

Overall, the sample of patients with neurological conditions showed only mild limitations in their capacities, on average. Only the capacity dimension endurance received an average rating of moderately limited from the observer. This was to be expected, given that the setting was the phase ‘D’ department of a rehabilitation clinic, which generally treats patients with less severe levels of disease and disability than acute clinics (DRV, 2010). The results of the observer ratings revealed that on average, patients with neurological conditions showed the highest levels of limitation in the areas of endurance and flexibility, while the lowest levels of limitation were in the areas of self-care and intimate relationships. This is in accordance with previous findings in populations with psychological disorders (e.g., Linden, Deck, et al., Reference Linden, Deck and Muschalla2018; Muschalla, Poguntke, et al., Reference Muschalla, Poguntke and Linden2019). On average, the highest levels of limitation in the self-rating were in the categories of endurance, mobility and flexibility, while the lowest mean level was revealed for the adherence to regulations category, which is similar to previous findings (Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018).

No substantial differences between the self- and observer ratings were revealed for some of the Mini-ICF-APP domains. Thus, the patients and the observers appear to be in general agreement concerning the level of limitation in those capacity dimensions. Higher scores for self-rated, compared to observer-rated, limitations were only revealed in two domains. However, due to the marginal effect sizes, the differences revealed are not considered meaningful. The opposite results were shown for the capacity dimensions of adherence to regulations, planning and structuring of tasks, professional competency and endurance. In those categories, the self-rated scores for limitations were significantly lower than the observer ratings. The results are therefore not in accordance with earlier empirical findings which had revealed higher scores for participation restrictions or psychopathology, from self-ratings, in comparison to observer ratings (e.g., Carter et al., Reference Carter, Frampton, Mulder, Luty and Joyce2010; Linden, Deck, et al., Reference Linden, Deck and Muschalla2018). Instead, the results seem to accord, in part, with research showing that patients with neurological conditions tend to underestimate their functional impairment and capacity limitation, possibly due to impaired self-awareness, denial of disability as a coping mechanism or attribution errors (e.g., Bruce & Arnett, Reference Bruce and Arnett2004; Carone et al., Reference Carone, Benedict, Munschauer III, Fishman and Weinstock-Guttman2005; Fischer et al., Reference Fischer, Trexler and Gauggel2004; Hartman-Maeir et al., Reference Hartman-Maeir, Soroker, Oman and Katz2003; Katz et al., Reference Katz, Fleming, Keren, Lightbody and Hartman-Maeir2002; Prigatano, Reference Prigatano1996). Some of the previous findings indicated that these phenomena may occur primarily in patients with moderate or severe levels of disease (Prigatano & Sherer, Reference Prigatano and Sherer2020; Prigatano, Reference Prigatano1996). However, another study showed that an impaired self-awareness can also be observed in mild disease cases (Geytenbeek et al., Reference Geytenbeek, Fleming, Doig and Ownsworth2017). This study included patients in rehabilitation phase ‘D’, who generally show less severe levels of disease and milder impairments (DRV, 2010). Therefore, the current results suggest that despite not being present in all capacity dimensions, the underestimation of limitations might be a phenomenon which also occurs in patients with less severe neurological conditions.

Other explanations for lower self- than observer ratings, could include a different understanding of the capacity dimensions or different reference contexts, such as patients comparing their current capacity limitations to those during more severe stages of their neurological condition.

Practical and theoretical implications

In clinical practice, limitations in each capacity dimension as well as discrepancies in patient- and clinician-ratings should be thoroughly assessed. This is important for assessing participation restrictions (e.g., concerning work ability) as well as in the treatment process (Muschalla, Reference Muschalla2020), for example to target the limited capacities in patients with neurological conditions and adjust therapy to the patient’s level of self-awareness (following the neurological condition). The Mini-ICF-APP and the Mini-ICF-APP-S have been developed in the context of psychological disorders (Linden et al., Reference Linden, Baron and Muschalla2009; Linden, Baron, & Muschalla, Reference Linden, Baron and Muschalla2015). As the results of this study suggest that psychological capacity limitations also occur in samples with neurological conditions, the Mini-ICF-APP self- and observer ratings can also be used for assessing capacity limitations in patients with neurological conditions. They might reveal differences in self- and observer ratings which can help to address impaired self-awareness or denial and enhance collaborative relationships (in the sense of therapeutic alliances; Bordin, Reference Bordin1979) between the clinicians and patients. Schönberger, Humle, and Teasdale (Reference Schönberger, Humle and Teasdale2006) indicated a possible link between self-awareness in patients with brain injury and collaborative patient-clinician partnerships.

The results also highlight the need for developing interventions targeting the impaired awareness of capacity limitations. There have already been different approaches and proposals to enhance self-awareness in patients with brain injury, including metacognitive interventions and direct feedback (Tate et al., Reference Tate, Kennedy, Ponsford, Douglas, Velikonja, Bayley and Stergiou-Kita2014). For example, Copley, Smith, Finch, Fleming, and Cornwell (Reference Copley, Smith, Finch, Fleming and Cornwell2020) assessed if a metacognitive treatment increased self-awareness in patients with acquired brain injury who were diagnosed with cognitive-communication disorders. They revealed that the intervention is associated with enhancements in self-awareness, for example concerning the ability to recognize consequences of the deficits for the patients’ everyday life. Future intervention research should try to improve awareness of capacity limitations and their compensation (in the sense of the SOC model for selection, optimization and compensation; Baltes & Baltes, Reference Baltes, Baltes, Baltes and Baltes1990) in patients with neurological conditions.

Limitations

The sample in this study only included patients who were in rehabilitation phase ‘D’. This sample is particularly suitable to examine capacity limitations, as participating in or returning to work and social life becomes relevant from that stage on (DRV, 2010). However, the results cannot be generalized concerning patients with more severe levels of disease or limitations. Furthermore, all the participants in this study were recruited from a single rehabilitation clinic. Future studies should examine capacity limitations by recruiting patients from different rehabilitation clinics.

The Mini-ICF-APP-S scale was transformed according to the Mini-ICF-APP scale based on the content-related conformity of both scales. Further research is required for the self-rating version, for example representative studies in order to gain norm data for self-rated capacity levels of the general population.

Conclusion

Psychological capacity limitations occur not only in patients with psychological but also, similarly, in patients with neurological conditions. While the self- and observer ratings show similarities for some of the capacity limitation dimensions, indicating that the patients and observers are in general agreement, some variability was recorded between the patient- and observer ratings regarding the levels of limitation in other capacity dimensions. Hence, while capacity limitations in the context of socio-medical assessments need to be evaluated by experts (as also indicated by Linden, Keller, et al., Reference Linden, Keller, Noack and Muschalla2018), it is beneficial to include self-ratings in the clinical context as a valuable source of information regarding the patients’ awareness of limitations. This is especially relevant in those patients with neurological conditions who underestimate or deny their disability. Including both types of capacity limitation ratings in the clinical context might also contribute to establish and improve collaborative partnerships between the clinicians and patients and may also serve as a basis for intervention efforts, such as awareness trainings targeting capacity limitations. The Mini-ICF-APP and Mini-ICF-APP-S can be used to assess capacity limitations in patients with neurological conditions.

Supplementary materials

For supplementary material for this article, please visit https://doi.org/10.1017/BrImp.2022.26

Data availability

Data are available from the corresponding author upon request.

Acknowledgements

The authors would like to thank Kurt-Josef Michels, Kai-Uwe Michels and Dr Roland Meyer-Zier for supporting this study. The manuscript has been proofread by Kelly Proofreading GmbH.

Author contributions

A.H. collected the data, conducted literature search, analyzed the data and drafted the manuscript. M.L. supervised data analysis and revised the manuscript. B.M. designed the study, acquired the funding, provided the research question and contributed to manuscript revision.

Financial support

This research was funded by the German Federal Pension Agency (8011 - 106 - 31/31.129).

Conflicts of interest

Anne Henning has no conflicts of interest to disclose. Michael Linden has no conflicts of interest to disclose. Beate Muschalla has no conflicts of interest to disclose.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. The study was reviewed and approved by the ethics and data protection committee of the Technische Universität Braunschweig (number: D-2018-09). All participating patients gave written informed consent.

References

Alonso-Recio, L., Carvajal, F., Merino, C., & Serrano, J. M. (2021). Social cognition and cognitive decline in patients with Parkinson’s disease. Journal of the International Neuropsychological Society, 27(7), 744755. doi: 10.1017/S1355617720001204 CrossRefGoogle ScholarPubMed
Amato, M. P., Zipoli, V., & Portaccio, E. (2006). Multiple sclerosis-related cognitive changes: A review of cross-sectional and longitudinal studies. Journal of the Neurological Sciences, 245(1-2), 4146. doi: 10.1016/j.jns.2005.08.019 CrossRefGoogle ScholarPubMed
Anner, J., Schwegler, U., Kunz, R., Trezzini, B., & de Boer, W. (2012). Evaluation of work disability and the international classification of functioning, disability and health: What to expect and what not. BMC Public Health, 12(470). doi: 10.1186/1471-2458-12-470 CrossRefGoogle ScholarPubMed
Baltes, P. B., & Baltes, M. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In Baltes, P. B. & Baltes, M. M. (Eds.), Successful aging: Perspectives from the behavioral sciences (pp. 134). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Baron, S. (2019). Erfassung von Fähigkeitsbeeinträchtigungen mit dem Mini-ICF-APP und Mini-ICF-APP-S [Assessment of capacity limitations using the Mini-ICF-APP and Mini-ICF-APP-S]. Praxis Klinische Verhaltensmedizin und Rehabilitation, 107, 232236.Google Scholar
Baron, S., & Linden, M. (2009). Disorders of functions and disorders of capacity in relation to sick leave in mental disorders. International Journal of Social Psychiatry, 55(1), 5763. doi: 10.1177/0020764008091660 CrossRefGoogle ScholarPubMed
Beck, A. T., Rush, A. J., Shaw, B. T., & Emery, G. (1979). Cognitive therapy of depression. New York: Guilford Press.Google Scholar
Beyenburg, S., Mitchell, A. J., Schmidt, D., Elger, C. E., & Reuber, M. (2005). Anxiety in patients with epilepsy: Systematic review and suggestions for clinical management. Epilepsy & Behavior, 7(2), 161171. doi: 10.1016/j.yebeh.2005.05.014 CrossRefGoogle ScholarPubMed
Biancosino, B., Barbui, C., Marmai, L., Fagioli, F., Sabatelli, R., & Grassi, L. (2007). Relationship between self-reported and observer-reported ratings for psychopathology in psychiatric inpatients. Psychopathology, 40(6), 418423. doi: 10.1159/000106472 CrossRefGoogle ScholarPubMed
Bivona, U., Costa, A., Contrada, M., Silvestro, D., Azicnuda, E., Aloisi, M., …Prigatano, G. P. (2019). Depression, apathy and impaired self-awareness following severe traumatic brain injury: A preliminary investigation. Brain Injury, 33(9), 12451256. doi: 10.1080/02699052.2019.1641225 CrossRefGoogle ScholarPubMed
Bordin, E. S. (1979). The generalizability of the psychoanalytic concept of the working alliance. Psychotherapy: Theory, Research & Practice, 16(3), 252260. doi: 10.1037/h0085885 CrossRefGoogle Scholar
Brenner, L., Köllner, V., & Bachem, R. (2019). Symptom burden and work-related impairment among patients with PTSD and complex PTSD. European Journal of Psychotraumatology, 10(1), 1694766. doi: 10.1080/20008198.2019.1694766 CrossRefGoogle ScholarPubMed
Bruce, J. M., & Arnett, P. A. (2004). Self-reported everyday memory and depression in patients with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 26(2), 200214. doi: 10.1076/jcen.26.2.200.28081 CrossRefGoogle ScholarPubMed
Carone, D. A., Benedict, R. H. B., Munschauer III, F. E., Fishman, I., & Weinstock-Guttman, B. (2005). Interpreting patient/informant discrepancies of reported cognitive symptoms in MS. Journal of the International Neuropsychological Society, 11(5), 574583. doi: 10.1017/S135561770505068X,CrossRefGoogle ScholarPubMed
Carter, J. D., Frampton, C. M., Mulder, R. T., Luty, S. E., & Joyce, P. R. (2010). The relationship of demographic, clinical, cognitive and personality variables to the discrepancy between self and clinician rated depression. Journal of Affective Disorders, 124(1-2), 202206. doi: 10.1016/j.jad.2009.11.011 CrossRefGoogle Scholar
Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98101. doi: 10.1111/1467-8721.ep10768783 CrossRefGoogle Scholar
Copley, A., Smith, C., Finch, E., Fleming, J., & Cornwell, P. (2020). Does metacognitive strategy instruction improve impaired self-awareness in adults with cognitive-communication disorders following an acquired brain injury? Speech, Language and Hearing, 25(2), 113. doi: 10.1080/2050571X.2020.1816403,Google Scholar
Cropley, M., & MacLeod, A. K. (2003). Dysphoria, attributional reasoning and future event probability. Clinical Psychology & Psychotherapy, 10(4), 220227. doi: 10.1002/cpp.360 CrossRefGoogle Scholar
Crosson, B., Barco, P. P., Velozo, C. A., Bolesta, M. M., Cooper, P. V., Werts, D., & Brobeck, T. C. (1989). Awareness and compensation in postacute head injury rehabilitation. The Journal of Head Trauma Rehabilitation, 4(3), 4654. doi: 10.1097/00001199-198909000-00008 CrossRefGoogle Scholar
den Brok, M. G., van Dalen, J. W., van Gool, W. A., Moll van Charante, E. P., de Bie, R. M. A., & Richard, E. (2015). Apathy in Parkinson’s disease: a systematic review and meta-analysis. Movement Disorders, 30(6), 759769. doi: 10.1002/mds.26208 CrossRefGoogle ScholarPubMed
DIMDI (2005). ICF - Internationale Klassifikation der Funktionsfähigkeit, Behinderung und Gesundheit [International Classification of Functioning, Disability and Health] (DIMDI ed.). Cologne: DIMDI.Google Scholar
Djamshidian, A., O’Sullivan, S. S., Sanotsky, Y., Sharman, S., Matviyenko, Y., Foltynie, T., …Averbeck, B. B. (2012). Decision making, impulsivity, and addictions: Do Parkinson’s disease patients jump to conclusions? Movement Disorders, 27(9), 11371145. doi: 10.1002/mds.25105 CrossRefGoogle ScholarPubMed
DRV (2010). Leitlinien für die sozialmedizinische Begutachtung. Sozialmedizinische Beurteilung bei neurologischen Erkrankungen [Guidlines for the socio-medical assessment. Socio-medical assessment in neurological diseases]. Berlin: DRV.Google Scholar
Everaert, J., Bronstein, M. V., Cannon, T. D., & Joormann, J. (2018). Looking through tinted glasses: Depression and social anxiety are related to both interpretation biases and inflexible negative interpretations. Clinical Psychological Science, 6(4), 517528. doi: 10.1177/2167702617747968 CrossRefGoogle Scholar
Fischer, S., Trexler, L. E., & Gauggel, S. (2004). Awareness of activity limitations and prediction of performance in patients with brain injuries and orthopedic disorders. Journal of the International Neuropsychological Society, 10(2), 190199. doi: 10.1017/S1355617704102051 CrossRefGoogle ScholarPubMed
Geytenbeek, M., Fleming, J., Doig, E., & Ownsworth, T. (2017). The occurrence of early impaired self-awareness after traumatic brain injury and its relationship with emotional distress and psychosocial functioning. Brain Injury, 31(13-14), 17911798. doi: 10.1080/02699052.2017.1346297 CrossRefGoogle ScholarPubMed
Gullo, H. L., Fleming, J., Bennett, S., & Shum, D. H. K. (2019). Cognitive and physical fatigue are associated with distinct problems in daily functioning, role fulfilment, and quality of life in multiple sclerosis. Multiple Sclerosis and Related Disorders, 31, 118123. doi: 10.1016/j.msard.2019.03.024 CrossRefGoogle ScholarPubMed
Gustavsson, A., Svensson, M., Jacobi, F., Allgulander, C., Alonso, J., Beghi, E., …Olesen, J. (2011). Cost of disorders of the brain in Europe 2010. European Neuropsychopharmacology, 21(10), 718779. doi: 10.1016/j.euroneuro.2011.08.008 CrossRefGoogle ScholarPubMed
Hadley, S. A., & MacLeod, A. K. (2010). Conditional goal-setting, personal goals and hopelessness about the future. Cognition and Emotion, 24(7), 11911198. doi: 10.1080/02699930903122521 CrossRefGoogle Scholar
Hartman-Maeir, A., Soroker, N., Oman, S. D., & Katz, N. (2003). Awareness of disabilities in stroke rehabilitation - a clinical trial. Disability and Rehabilitation, 25(1), 3544.10.1080/0963828021000007897CrossRefGoogle ScholarPubMed
Hartmann, M. M., Fritzsche, A., & Lincoln, T. M. (2013). The extent and origin of discordance between self-and observer-rated depression in patients with psychosis. Psychiatry Research, 205(3), 247252. doi: 10.1016/j.psychres.2012.08.024 CrossRefGoogle ScholarPubMed
Henry, J. D., Von Hippel, W., Molenberghs, P., Lee, T., & Sachdev, P. S. (2016). Clinical assessment of social cognitive function in neurological disorders. Nature Reviews Neurology, 12(1), 2839. doi: 10.1038/nrneurol.2015.229 CrossRefGoogle ScholarPubMed
Katz, N., Fleming, J., Keren, N., Lightbody, S., & Hartman-Maeir, A. (2002). Unawareness and/or denial of disability: Implications for occupational therapy intervention. Canadian Journal of Occupational Therapy, 69(5), 281292. doi: 10.1177/000841740206900504 CrossRefGoogle ScholarPubMed
Krahé, C., Whyte, J., Bridge, L., Loizou, S., & Hirsch, C. R. (2019). Are different forms of repetitive negative thinking associated with interpretation bias in generalized anxiety disorder and depression? Clinical Psychological Science, 7(5), 969981. doi: 10.1177/2167702619851808 CrossRefGoogle Scholar
Linden, M. (2016). Fähigkeitsbeeinträchtigungen und Teilhabeeinschränkungen – Erfassung und Quantifizierung in der sozialmedizinischen Beurteilung von psychischen Störungen [Capacity limitations and participation restrictions – assessment and quantification in the context of the socio-medical assessment of mental disorders]. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz, 59(9), 11471153.CrossRefGoogle Scholar
Linden, M., Baron, S., & Muschalla, B. (2009). Mini-ICF-Rating für psychische Störungen (Mini-ICF-APP). Ein Kurzinstrument zur Beurteilung von Fähigkeits- bzw. Kapazitätsstörungen bei psychischen Störungen [Mini-ICF rating for mental disorders (Mini-ICF-APP). A short rating of capacity limitations in mental disorders]. Göttingen: Hans Huber.Google Scholar
Linden, M., Baron, S., & Muschalla, B. (2015). Mini-ICF-Rating für Aktivitäts- und Partizipationsbeeinträchtigungen bei psychischen Erkrankungen (Mini-ICF-APP). Ein Kurzinstrument zur Fremdbeurteilung von Aktivitäts- und Partizipationsbeeinträchtigungen bei psychischen Erkrankungen in Anlehnung an die Internationale Klassifikation der Funktionsfähigkeit, Behinderung und Gesundheit (ICF) der Weltgesundheitsorganisation [Mini-ICF rating for activity limitations and participation restrictions in mental disorders (Mini-ICF-APP). A short observer-rating of activities and participation in mental disorders according to the International Classification of Functioning, Disability and Health (ICF) of the World Health Organization] (2nd ed.). Bern: Verlag Hans Huber.Google Scholar
Linden, M., Baron, S., Muschalla, B., & Ostholt-Corsten, M. (2015). Fähigkeitsbeeinträchtigungen bei psychischen Erkankungen: Diagnostik, Therapie und sozialmedizinische Beurteilung in Anlehnung an das Mini-ICF-APP [Capacity limitations in mental disorders: Diagnostics, therapy and socio-medical assessment according to the Mini-ICF-APP]. Göttingen: Verlag Hans Huber.Google Scholar
Linden, M., Deck, R., & Muschalla, B. (2018). Rate and spectrum of participation impairment in patients with chronic mental disorders: Comparison of self- and expert ratings. Contemporary Behavioral Health Care, 3(1), 15. doi: 10.15761/CBHC.1000124 Google Scholar
Linden, M., Keller, L., Noack, N., & Muschalla, B. (2018). Self-rating of capacity limitations in mental disorders: The “Mini-ICF-APP-S. Behavioral Medicine and Rehabilitation Practice, 101, 1422.Google Scholar
Linden, M., Muschalla, B., Haverkamp, L., & Keßler, U. (2013). Selbst- und Fremdeinschätzung von Teilhabestörungen [Self- and observer rating of participation restrictions]. In: 22. Rehabilitationswissenschaftliches Kolloquium, Mainz.Google Scholar
Lou, J. S., Kearns, G., Oken, B., Sexton, G., & Nutt, J. (2001). Exacerbated physical fatigue and mental fatigue in Parkinson’s disease. Movement Disorders, 16(2), 190196. doi: 10.1002/mds.1042 CrossRefGoogle ScholarPubMed
Mattle, H., & Mumenthaler, M. (2015). Kurzlehrbuch Neurologie [Short textbook of neurology] (4th ed.). New York: Georg Thieme Verlag.Google Scholar
Miranda, R., Fontes, M., & Marroquín, B. (2008). Cognitive content-specificity in future expectancies: Role of hopelessness and intolerance of uncertainty in depression and GAD symptoms. Behaviour Research and Therapy, 46(10), 11511159. doi: 10.1016/j.brat.2008.05.009 CrossRefGoogle ScholarPubMed
Mitchell, A. J., Kemp, S., Benito-León, J., & Reuber, M. (2010). The influence of cognitive impairment on health-related quality of life in neurological disease. Acta Neuropsychiatrica, 22(1), 213. doi: 10.1111/j.1601-5215.2009.00439.x CrossRefGoogle Scholar
Molodynski, A., Linden, M., Juckel, G., Yeeles, K., Anderson, C., Vazquez-Montes, M., & Burns, T. (2013). The reliability, validity, and applicability of an English language version of the Mini-ICF-APP. Social Psychiatry and Psychiatric Epidemiology, 48(8), 13471354. doi: 10.1007/s00127-012-0604-8 CrossRefGoogle ScholarPubMed
Mujica-Mota, R. E., Roberts, M., Abel, G., Elliott, M., Lyratzopoulos, G., Roland, M., & Campbell, J. (2015). Common patterns of morbidity and multi-morbidity and their impact on health-related quality of life: Evidence from a national survey. Quality of Life Research, 24(4), 909918. doi: 10.1007/s11136-014-0820-7 CrossRefGoogle ScholarPubMed
Muschalla, B. (2018). Work ability impairment and facets of workplace perception are predictive of sick leave duration in persons with work anxiety. Zeitschrift für Arbeits-und Organisationspsychologie A&O, 62(2), 8296. doi: 10.1026/0932-4089/a000271 CrossRefGoogle Scholar
Muschalla, B. (2020). “Wie hast du’s mit der Arbeitsfähigkeit?” Fähigkeitserleben und Arbeitsplatzprobleme bei Patienten mit psychischen Erkrankungen [“What is your work-ability like?” The perception of capacities and problems at work in patients with mental disorders]. Zeitschrift für Psychiatrie, Psychologie und Psychotherapie, 68(2), 120130. doi: 10.1024/1661-4747/a000411 CrossRefGoogle Scholar
Muschalla, B., Angerer, P., & Knaevelsrud, C. (2017). Arbeitsfähigkeitsbeschreibung bei psychischen Erkrankungen [Description of the work-ability in mental disorders]. Verhaltenstherapie, 27(1), 2734. doi: 10.1159/000455995 CrossRefGoogle Scholar
Muschalla, B., Linden, M., Baron, S., & Ostholt-Corsten, M. (2019). Soft Skills einschätzen – Assessment: Mini-ICF-APP [Assessing soft skills: Mini-ICF-APP]. Ergopraxis, 12(1), 3233. doi: 10.1055/a-0732-9482 CrossRefGoogle Scholar
Muschalla, B., Poguntke, K. J., & Linden, M. (2019). Assessment of capacity impairment in patients with mental disorders by routine clinical assessment and by structured assessment with the Mini-ICF-APP. Psychopathology, 52(4), 248255. doi: 10.1159/000502123 CrossRefGoogle ScholarPubMed
Muschalla, B., Rau, H., Küster, A., Willmund, G. D., & Knaevelsrud, C. (2017). Work-related capacity impairments in self- and observer-rating in military personnel with mental disorders. Wehrmedizinische Monatsschrift, 61(11), 260268.Google Scholar
Patten, S. B., & Metz, L. M. (2002). Hopelessness ratings in relapsing-remitting and secondary progressive multiple sclerosis. International Journal of Psychiatry in Medicine, 32(2), 155165. doi: 10.2190/2G2N-WE19-NM47-JNY8 CrossRefGoogle ScholarPubMed
Paul, S. L., Sturm, J. W., Dewey, H. M., Donnan, G. A., Macdonell, R. A., & Thrift, A. G. (2005). Long-term outcome in the North East Melbourne Stroke Incidence Study: Predictors of quality of life at 5 years after stroke. Stroke, 36(10), 20822086. doi: 10.1161/01.STR.0000183621.32045.31 CrossRefGoogle Scholar
Pearson, J. F., Alla, S., Clarke, G., Mason, D. F., Anderson, T., Richardson, A., …Taylor, B. V. (2017). Multiple Sclerosis impact on employment and income in New Zealand. Acta Neurologica Scandinavica, 136(3), 223232. doi: 10.1111/ane.12714 CrossRefGoogle ScholarPubMed
Penner, I. K., & Paul, F. (2017). Fatigue as a symptom or comorbidity of neurological diseases. Nature Reviews Neurology, 13(11), 662675. doi: 10.1038/nrneurol.2017.117 CrossRefGoogle ScholarPubMed
Phillips, L. H., Henry, J. D., Scott, C., Summers, F., Whyte, M., & Cook, M. (2011). Specific impairments of emotion perception in multiple sclerosis. Neuropsychology, 25(1), 131136. doi: 10.1037/a0020752 CrossRefGoogle ScholarPubMed
Prigatano, G. P. (1996). Behavioral limitations TBI patients tend to underestimate: A replication and extension to patients with lateralized cerebral dysfunction. The Clinical Neuropsychologist, 10(2), 191201. doi: 10.1080/13854049608406680 CrossRefGoogle Scholar
Prigatano, G. P., & Sherer, M. (2020). Impaired self-awareness and denial during the postacute phases after moderate to severe traumatic brain injury. Frontiers in Psychology, 11. doi:10.3389/fpsyg.2020.01569CrossRefGoogle ScholarPubMed
Robertson, K., & Schmitter-Edgecombe, M. (2015). Self-awareness and traumatic brain injury outcome. Brain Injury, 29(7-8), 848858. doi: 10.3109/02699052.2015.1005135 CrossRefGoogle ScholarPubMed
Rooney, S., Wood, L., Moffat, F., & Paul, L. (2019). Prevalence of fatigue and its association with clinical features in progressive and non-progressive forms of Multiple Sclerosis. Multiple Sclerosis and Related Disorders, 28, 276282. doi: 10.1016/j.msard.2019.01.011 CrossRefGoogle ScholarPubMed
Schönberger, M., Humle, F., & Teasdale, T. W. (2006). The development of the therapeutic working alliance, patients’ awareness and their compliance during the process of brain injury rehabilitation. Brain Injury, 20(4), 445454. doi: 10.1080/02699050600664772 CrossRefGoogle ScholarPubMed
Tate, R., Kennedy, M., Ponsford, J., Douglas, J., Velikonja, D., Bayley, M., & Stergiou-Kita, M. (2014). INCOG recommendations for management of cognition following traumatic brain injury, part III: Executive function and self-awareness. The Journal of Head Trauma Rehabilitation, 29(4), 338352. doi: 10.1097/HTR.0000000000000068 CrossRefGoogle ScholarPubMed
van Velzen, J. M., van Bennekom, C. A. M., Edelaar, M. J. A., Sluiter, J. K., & Frings-Dresen, M. H. W. (2009). How many people return to work after acquired brain injury?: A systematic review. Brain Injury, 23(6), 473488. doi: 10.1080/02699050902970737 CrossRefGoogle ScholarPubMed
Weintraub, D., Moberg, P. J., Culbertson, W. C., Duda, J. E., Katz, I. R., & Stern, M. B. (2005). Dimensions of executive function in Parkinson’s disease. Dementia and Geriatric Cognitive Disorders, 20(2-3), 140144. doi: 10.1159/000087043 CrossRefGoogle ScholarPubMed
WHO. (2001). International Classification of Functioning, Disability and Health: ICF. Geneva: WHO.Google Scholar
Wittchen, H. U., Jacobi, F., Rehm, J., Gustavsson, A., Svensson, M., Jonsson, B., …Steinhausen, H. C. (2011). The size and burden of mental disorders and other disorders of the brain in Europe 2010. European Neuropsychopharmacology, 21(9), 655679. doi: 10.1016/j.euroneuro.2011.07.018 CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Transformation of the Mini-ICF-APP-S Scale (Linden, Keller, et al., 2018) According to the Mini-ICF-APP Scale (Linden et al., 2009; Linden, Baron, & Muschalla, 2015; Linden, Baron, Muschalla, et al., 2015)

Figure 1

Table 2. Sample Characteristics (N = 245)

Figure 2

Table 3. Comparison of Mean Scores of Self- and Observer-Rated Capacity Limitations in Patients with Neurological Conditions (N = 245)a

Supplementary material: File

Henning et al. supplementary material

Table S1

Download Henning et al. supplementary material(File)
File 29.3 KB